TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
Jun Yamada,Marc Rigter,Jack Collins,Ingmar Posner,Jun Yamada,Marc Rigter,Jack Collins,Ingmar Posner
Model-based RL is a promising approach for real-world robotics due to its improved sample efficiency and generalization capabilities compared to model-free RL. However, effective model-based RL solutions for vision-based real-world applications require bridging the sim-to-real gap for any world model learnt. Due to its significant computational cost, standard domain randomisation does not provide ...
